This paper launches a new effort at modeling programmer attention by
pre...
In this letter, we investigate the mutual information rate (MIR) achieve...
Since DARPA started Grand Challenges in 2004 and Urban Challenges in 200...
Modern climate projections lack adequate spatial and temporal resolution...
The cross-domain text-to-SQL task aims to build a system that can parse ...
Due to the increasing challenges posed by the relentless rise in the des...
ZooKeeper is a coordination service, widely used as a backbone of variou...
The semiconductor industry is one of the most technology-evolving and
ca...
To achieve high availability and low latency, distributed data stores of...
The attention mechanism requires huge computational efforts to process
u...
Compiled software is delivered as executable binary code. Developers wri...
Neural clone detection has attracted the attention of software engineeri...
Despite the superior empirical success of deep meta-learning, theoretica...
Large-scale replicated data type stores often resort to eventual consist...
Internet-scale distributed systems often replicate data at multiple
geog...
Molecular communication has a key role to play in future medical
applica...
Precise congestion prediction from a placement solution plays a crucial ...
The identification of pedestrians using radar micro-Doppler signatures h...
Despite the remarkable success of deep multi-modal learning in practice,...
Consensus protocols are widely used in building reliable distributed sof...
MongoDB is a popular general-purpose, document-oriented, distributed NoS...
XORNet-based low power controller is a popular technique to reduce circu...
Applying deep learning (DL) techniques in the electronic design automati...
The growing availability of the data collected from smart manufacturing ...
Over the last few decades, modern industrial processes have investigated...
In the era of big data, data-driven based classification has become an
e...
With the rapid development of AI technology in recent years, there have ...
Causal consistency is a widely used weak consistency model that allows h...
IEEE BigData 2021 Cup: Soft Sensing at Scale is a data mining competitio...
Ocean current, fluid mechanics, and many other spatio-temporal physical
...
Spatio-temporal forecasting is of great importance in a wide range of
dy...
Arrhythmia detection from ECG is an important research subject in the
pr...
The world provides us with data of multiple modalities. Intuitively, mod...
When inspiring software developers to contribute to open source software...
Automated machine learning (AutoML) has seen a resurgence in interest wi...
Purpose: The goal of this research was to develop a deep network archite...
According to the National Academies, a weekly forecast of velocity, vert...
Data cleaning is a pervasive problem for organizations as they try to re...
Recently introduced privacy legislation has aimed to restrict and contro...
Since DARPA Grand Challenges (rural) in 2004/05 and Urban Challenges in ...
For solving the continuous Sylvester equation, a class of the multiplica...
The automatic identification system (AIS), an automatic vessel-tracking
...
This draft in its current version proves an impossibility result concern...
This paper presents a new approach of automatic text summarization which...
We report the discussion session at the sixth international Genetic
Impr...
Conventional automated segmentation of the human head distinguishes diff...
Internet-scale distributed systems often replicate data within and acros...
Both provides and consumers of distributed storage services can benefit ...
Time-evolving stream datasets exist ubiquitously in many real-world
appl...